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A Promising Approach to Detect Early Signs of Disease in Old Age

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Computational Science and Its Applications – ICCSA 2024 Workshops (ICCSA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14821))

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Abstract

The article proposes a platform structure that allows correctly, with a sufficient level of statistical significance, to separate a group of patients with the early stages of Alzheimer's disease from healthy controls, patients with late-life depression and people with cognitive impairment of vascular etiology. At the same time, three serious technical problems have been solved: the possibility of secure storage, transmission and provision of data in a form suitable for intellectual processing without disclosing personal information about patients has been implemented; filling in missing data to avoid distortion of survey results statistics; perform joint processing of data obtained at each of the diagnostic installations.

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References

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Authors and Affiliations

  1. St. Petersburg University, Saint Petersburg, Russia

    A. Bogdanov & N. Shchegoleva

  2. Federal State Budgetary Institution «Bekhterev National Medical Research Psychiatry and Neurology Center», Ministry of Health of the Russian Federation, St. Petersburg, Russia

    N. Zalutskaya

Authors
  1. A. Bogdanov
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  2. N. Shchegoleva
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  3. N. Zalutskaya
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Corresponding author

Correspondence to N. Shchegoleva .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Clayton Campus, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Bogdanov, A., Shchegoleva, N., Zalutskaya, N. (2024). A Promising Approach to Detect Early Signs of Disease in Old Age. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14821. Springer, Cham. https://doi.org/10.1007/978-3-031-65308-7_25

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  • DOI: https://doi.org/10.1007/978-3-031-65308-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-65307-0

  • Online ISBN: 978-3-031-65308-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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